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davisking / dlib-models

Trained model files for dlib example programs.
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Verification rate of face recognition model #43

Open HeshamAMH opened 3 years ago

HeshamAMH commented 3 years ago

I tested your model (dlib_face_recognition_resnet_model_v1) using LFW, but result is 85%, while you told us it has accuracy 99.38%. I wonder if any recommendation to boost the accuracy. I think the problem in face preparation before feature extractor. After we determine the five points of landmarks, what is the next steps (the alignment method, centered method for the faces). thanks in advance.

davisking commented 3 years ago

You aren't running something correct then. I don't know what you are doing wrong though. An entirely self contained script that runs the LFW benchmark correctly is in http://dlib.net/files/dlib_face_recognition_resnet_model_v1_lfw_test_scripts.tar.bz2

On Mon, Feb 22, 2021 at 8:04 AM HeshamAMH notifications@github.com wrote:

I tested your model () using LFW, but result is 85%, while you told us it has accuracy 99.38%. I wonder if any recommendation to boost the accuracy. I think the problem in face preparation before feature extractor. After we determine the five points of landmarks, what is the next steps (the alignment method, centered method for the faces). thanks in advance.

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